Elektrika最新文献_第5页

Rancang Bangun Sistem Monitoring dan Pendeteksi Lokasi Kebocoran Pipa Berdasarkan Analisis Debit Air Berbasis IoT 基于全局水流量分析的设计监控系统和抽水机检测管道泄漏的位置

Elektrika Pub Date : 2020-06-10 DOI: 10.26623/elektrika.v12i1.2338

A. Prasetya, H. Haryanto, K. Wibisono

引用次数: 1

Desain Solar Power Inverter pada Sistem Photovoltaic 光伏系统中太阳能逆变器的设计

Elektrika Pub Date : 2020-06-09 DOI: 10.26623/elektrika.v12i1.1863

Harmini Harmini, Titik Nurhayati

引用次数: 2

RANCANG BANGUN TACHOMETER DIGITAL BERBASIS ARDUINO DILENGKAPI CHARGING DAN MODE PENYIMPAN DATA 基于充电和数据法的蓝仓邦控数字转速表ARDUINO

Elektrika Pub Date : 2019-10-08 DOI: 10.26623/elektrika.v11i2.1692

I. T. Harsoyo, A. Nugroho, N. Nuriman

{"title":"RANCANG BANGUN TACHOMETER DIGITAL BERBASIS ARDUINO DILENGKAPI CHARGING DAN MODE PENYIMPAN DATA","authors":"I. T. Harsoyo, A. Nugroho, N. Nuriman","doi":"10.26623/elektrika.v11i2.1692","DOIUrl":"https://doi.org/10.26623/elektrika.v11i2.1692","url":null,"abstract":"A good and feasible centrifuge is needed in the world of health, therefore a digital tachometer is needed to calibrate a centrifuge. Digital tachometer is a measuring instrument used to measure the rotation speed of a motor. This tachometer will be tested to function by being compared to using Digital Laser Photo Tachometer. This tachometer will display the number of rotations per minute of a motor according to the speed setting on the centrifuge using the output of this E18-D80NK sensor which will later be processed by the Arduino Nano. As for this feature charger and data storage mode, so that user can save the data of measurement results on SD Card, and beside that user can also be a way of charging when after usage or before usage. At testing the tool used point settings 1000, 2000, 3000, 4000, 5000, and 12000 RPM. Based on the measurement results of centrifuge using tachometer module and comparison tachometer have average percentage of error varying at each setting point. The smallest error 0.8% at the setting Point 3000 RPM, while the largest error 4.9% at the setting point 1000 RPM. The Tacometer error value on this Centrifuge measurement is still within the tolerance limit of ± 10%","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42658321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

RANCANG BANGUN PROTOTYPE SMART HOME DENGAN KONSEP INTERNET OF THINGS (IOT) MENGGUNAKAN RASPBERRY PI BERBASIS WEB 澜沧江班君智能家居原型登安康赛物联网(iot)孟古纳坎树莓派berbasis web

Elektrika Pub Date : 2019-10-08 DOI: 10.26623/elektrika.v11i2.1691

Bagus Eryawan, Ari Endang Jayati, S. Heranurweni

{"title":"RANCANG BANGUN PROTOTYPE SMART HOME DENGAN KONSEP INTERNET OF THINGS (IOT) MENGGUNAKAN RASPBERRY PI BERBASIS WEB","authors":"Bagus Eryawan, Ari Endang Jayati, S. Heranurweni","doi":"10.26623/elektrika.v11i2.1691","DOIUrl":"https://doi.org/10.26623/elektrika.v11i2.1691","url":null,"abstract":"High economic growth makes the demand for comfortable and safe houses increase and the application of technology that is most clearly seen is technology with automatic systems. With this technology, the use of electricity in the house can be minimized and offer convenience in controlling the house. Sometimes homeowners forget to turn off the lights when they are outside the house so they have to go back and do checks that are very inefficient both in terms of time and financially such as the cost of gasoline to return to the house. Based on this, the Smart Home Prototype was created with the concept of the Internet of Things (IoT) using Raspberry Pi Web-Based, which is a system that can remotely control electronic home appliances using Raspberry Pi as a base system, which is connected to Web Applications through the internet network. The electronic equipment used in this study is in the form of 5 lamps, 1 stepper motor to control the garage, 1 servo motor to control the door lock, and 1 brushless motor that functions as a fan. Blocking and overall test results on Bedroom Lights, Living Room Lights, Kitchen Lights, Bathroom Lights, Porch Lights, Garages, Door Locks, and Fans, all work well. The testing of the distance between cities against the Prototype Smart Home was successfully carried out, where the Prototype Smart Home in the City of Demak was successfully controlled by the User who at the time of testing was in the City of Semarang, Kudus, Japan, Surabaya, and Jakarta.","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46855007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

PENGUAT KELAS D DENGAN METODE SUMMING INTEGRATOR D类助推器与集成SUMMING方法

Elektrika Pub Date : 2019-10-08 DOI: 10.26623/elektrika.v11i2.1693

Budihardja Murtianta

{"title":"PENGUAT KELAS D DENGAN METODE SUMMING INTEGRATOR","authors":"Budihardja Murtianta","doi":"10.26623/elektrika.v11i2.1693","DOIUrl":"https://doi.org/10.26623/elektrika.v11i2.1693","url":null,"abstract":"A class D amplifier is one in which the output transistors are operated as switches. When a transistor is off, the current through it is zero and when it is on, the voltage across it is small, ideally zero. Thus the power dissipation is very low, so it requires a smaller heat sink for the amplifier. Class D amplifier operation is based on analog principles and there is no digital encoding of the signal. Before the emergence of class D amplifiers, the standard classes were class A, class AB, class B, and class C. The classic method for generating signals driving a transistor MOSFET is to use a comparator. One input is driven by an incoming audio signal, and the other by a triangle wave or a sawtooth wave at the required switching frequency. The frequency of a triangular or sawtooth wave must be higher than the audio input. MOSFET transistors work in a complementary manner that operates as a switch. Triangle waves are usually generated by square waves fed to the integrator circuit. So the main part of processing audio signals into PWM (Pulse Width Modulation) is the integrator and comparator. In this paper, we will discuss the work of a class D amplifier system using the summing integrator method as its main part.","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42987867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PREDIKSI BEBAN ENERGI LISTRIK APJ KOTA SEMARANG MENGGUNAKAN METODE RADIAL BASIS FUNCTION (RBF) 基于径向基函数的代码公司列表能量测试预测

Elektrika Pub Date : 2019-10-08 DOI: 10.26623/elektrika.v11i2.1699

Mukti Dwi Cahyo, S. Heranurweni, Harmini Harmini

{"title":"PREDIKSI BEBAN ENERGI LISTRIK APJ KOTA SEMARANG MENGGUNAKAN METODE RADIAL BASIS FUNCTION (RBF)","authors":"Mukti Dwi Cahyo, S. Heranurweni, Harmini Harmini","doi":"10.26623/elektrika.v11i2.1699","DOIUrl":"https://doi.org/10.26623/elektrika.v11i2.1699","url":null,"abstract":"Electric power is one of the main needs of society today, ranging from household consumers to industry. The demand for electricity increases every year. So as to achieve adjustments between power generation and power demand, the electricity provider (PLN) must know the load needs or electricity demand for some time to come. There are many studies on the prediction of electricity loads in electricity, but they are not specific to each consumer sector. One of the predictions of this electrical load can be done using the Radial Basis Function Artificial Neural Network (ANN) method. This method uses training data learning from 2010 - 2017 as a reference data. Calculations with this method are based on empirical experience of electricity provider planning which is relatively difficult to do, especially in terms of corrections that need to be made to changes in load. This study specifically predicts the electricity load in the Semarang Rayon network service area in 2019-2024. The results of this Artificial Neural Network produce projected electricity demand needs in 2019-2024 with an average annual increase of 1.01% and peak load in 2019-2024. The highest peak load in 2024 and the dominating average is the household sector with an increase of 1% per year. The accuracy results of the Radial Basis Function model reached 95%.","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49078118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

RANCANG BANGUN BANTAL TERAPI BERBASIS ARDUINO 兰仓戏谑阿都诺工作

Elektrika Pub Date : 2019-10-08 DOI: 10.26623/ELEKTRIKA.V11I2.1706

D. Ningtias, M. Sudarma, Imam Tri Harsoyo

{"title":"RANCANG BANGUN BANTAL TERAPI BERBASIS ARDUINO","authors":"D. Ningtias, M. Sudarma, Imam Tri Harsoyo","doi":"10.26623/ELEKTRIKA.V11I2.1706","DOIUrl":"https://doi.org/10.26623/ELEKTRIKA.V11I2.1706","url":null,"abstract":"One form of physiotherapy is utilizing heat for recovery. Heat therapy can open blood vessels wider, thereby increasing blood flow and supply of oxygen and nutrients to reduce pain in joints, muscles, ligaments and injured tanks. To help health services in the field of physiotherapy the author modifies the therapeutic pillow with Arduino Uno and DS18B20 based as a temperature sensor, LCD as a temperature viewer and a timer and button that functions to choose how long it takes to do therapy. The design of therapeutic pillows is divided into two, namely hardware and software design, hardware design including power supply, a series of drivers and system scenarios. While the software design of this tool uses the Arduino and proteus applications as software. The result of the percentage error at the TP2 measurement is 0.02%. The measurement results on TP3 when the tool is off or off, then the circuit does not get a voltage while when the device is turned on or on the driver circuit gets a voltage of 1.4 Volt. After making the process of making, testing, testing tools and data collection, the author has succeeded in designing a heat therapy pillow using a temperature sensor and ARDUINO UNO based timer controller that can provide convenience when going to heat therapy because it is equipped with an automatically controlled temperature sensor and controller timer. by DS1820 temperature sensor. A therapeutic pillow based on Arduino with 10 minutes of therapy results in a temperature of 41°C.","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49196593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ANALISA SISTEM KERJA PERANGKAT AKTIF PT. TELKOM AKSES 有源供电系统PT.ACCESS分析

Elektrika Pub Date : 2019-10-08 DOI: 10.26623/elektrika.v11i2.1694

Andika Singgih Prasetyo, Erlinasari Erlinasari

引用次数: 0

Desain dan Implementasi Maximum Power Solar Tracker Menggunakan Panel Photovoltaic di Kota Semarang 当前城市光伏板最大功率太阳跟踪器的设计与实现

Elektrika Pub Date : 2019-06-19 DOI: 10.26623/ELEKTRIKA.V10I1.1117

Harmini Harmini, Titik Nurhayati

引用次数: 1

ANALISA CITRA BERBASIS FITUR WARNA TEKSTUR DAN HISTOGRAM UNTUK MENENTUKAN KEMIRIPAN CITRA 基于文本和直方图的柠檬醛预警分析

Elektrika Pub Date : 2019-04-02 DOI: 10.26623/ELEKTRIKA.V11I1.1539

M. Sipan, Rony Kartika Pramuyanti

{"title":"ANALISA CITRA BERBASIS FITUR WARNA TEKSTUR DAN HISTOGRAM UNTUK MENENTUKAN KEMIRIPAN CITRA","authors":"M. Sipan, Rony Kartika Pramuyanti","doi":"10.26623/ELEKTRIKA.V11I1.1539","DOIUrl":"https://doi.org/10.26623/ELEKTRIKA.V11I1.1539","url":null,"abstract":"Citra merupakan sebuah gambaran dari sebuah objek yang menarik untuk di teliti. Penelitian ini membahas tentang Analisa citra berbasis fitur warna, tekstur dan histogram. Fitur-fitur ini akan dicari untuk memperoleh nilai yang akan digunakan sebagai acuan untuk mencari kemiripan citra berdasarkan error pada citra. Besar kecil nya error yang di peroleh dari nilai-nilai fitur tersebut menunjukan besar kecilnya kemiripan dari sebuah citra.Fitur warna citra berpengaruh pada kejelasan sebuah objek yang ada pada citra tersebut. Dengan warna yang ber-beda-beda objek dapat dideteksi dengan cepat walaupun hanya dengan kasat mata. Analisa citra dengan fitur warna yang dilakukan menggunakan nilai RGB pada citra yang dicari fiturnya, yaitu nilai Red, Green dan Blue pada tiap blok pikselnya. Setelah nilai fitur watna diperoleh, kemudian dicari nilai fitur tekstur menggunakan metode statistika orde dua yaitu Gray Level Cooccurrence Matrix (GLCM). Fitur-fitur tekstur tersebut antara lain: Kontras, IDM ASM, Entropi, dan Korelasi.Tahap akhir dicari nilai histogram dari tiga kondisi citra yang berbeda-beda untuk menunjukkan kondisi terang, normal dan gelap. Nilai-nilai fitur yang di peroleh kemudian digunakan untuk mencari kemiripan citra dengan menentukan besar kecilnya nilai error, dimana pada penelitian ini digunakan MSE (Mean Square errors) dan MAE (Mean Absolute Errors) untuk mencari besar nilai error.Keyword: fitur, warna, histogram, Glcm, MSE.","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47696627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2